Bivariate density estimation with randomly truncated data.

DOI10.1006/JMVA.1999.1875zbMath1118.62318OpenAlexW2153081275MaRDI QIDQ1582632

Ülkü Gürler, Kathryn A. Prewitt

Publication date: 15 October 2000

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/11693/11135

zbMATH Keywords

kernel density estimatorsbivariate distributiontruncation/censoring

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Related Items (3)

A generalized product-limit estimator for truncated data ⋮ Permutation test for non-inferiority of the linear to the optimal combination of multiple tests ⋮ The ROC region of a regression tree

Cites Work

• Multiparameter bandwidth processes and adaptive surface smoothing
• Some representations of the nonparametric maximum likelihood estimators with truncated data
• Asymptotic properties of the product limit estimate under random truncation
• The oscillation behavior of empirical processes
• Nonparametric regression analysis of longitudinal data
• Strong representations of the survival function estimator for truncated and censored data with applications
• Bivariate distribution and hazard functions when a component is randomly truncated
• Variance of the bivariate density estimator for left truncated right censored data.
• Nonparametric estimation of the bivariate survival function with truncated data
• Almost sure representations of the product-limit estimator for truncated data
• Testing the assumption of independence of truncation time and failure time
• A note on the product-limit estimator under right censoring and left truncation
• A Semiparametric Model for Randomly Truncated Data
• Inference Based on Retrospective Ascertainment: An Analysis of the Data on Transfusion-Related AIDS
• Bivariate Estimation With Right-Truncated Data
• The Product-Moment Correlation Coefficient and Linear Regression for Truncated Data
• Estimating a distribution function with truncated data

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